基于对比度的小波图像融合算法研究

摘要

Image fusion can integrate redundant and complementary information from multiple image sources,and the comprehensiveness of image understanding can be increased,and a more accurate and reliable image can be obtained for the same scene.Fusion rules of traditional wavelet image fusion are to process low-frequency and high-frequency coefficients respectively,but it ignored the relation between the two.The contrast is used to connect low-frequency co-efficients process with high-frequency coefficients process,and it is as the criterion to select the coefficient for image fusion.Experimental simulation results show that the algorithm can preserve the useful information from multiple source images,and it is an effective image fusion algorithm.%图像融合可以集成多个源图像中的冗余和互补信息，增加图像理解的全面性，获得对同一场景的更为准确可靠的图像描述。传统的小波图像融合方法的融合规则是分别对低频和高频系数进行处理，忽略了两者之间的联系。本文提出利用对比度将高频系数和低频系数的处理联系起来，并以对比度作为度量系数取舍的准则进行图像融合。实验仿真研究表明，本文提出的算法很好地保留了多幅源图像的有用信息，是一种有效的图像融合算法。